Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models.
Andrea RotnitzkyEzequiel SmuclerPublished in: CoRR (2019)
Keyphrases
- graphical models
- bayesian networks
- probabilistic model
- belief propagation
- approximate inference
- random variables
- probabilistic graphical models
- probabilistic inference
- structure learning
- markov networks
- statistical inference
- map inference
- possibilistic networks
- conditional independence
- exact inference
- factor graphs
- conditional random fields
- importance sampling
- undirected graphical models
- bayesian inference
- structural learning